https://docs.google.com/presentation/d/13yvX4tq4ZKKLVI-1OVY7XRoMFsOl6eQ4JwTzD_nV5n4/edit?usp=sharing
https://docs.google.com/presentation/d/1mZsiWJpdd8D7XEvDLJqFt7GOItKD7ft8ZrIsmdEO-JE/edit?usp=sharing
{ | |
"baseLayer": { | |
"tilejson": "2.2.0", | |
"name": "base", | |
"version": "1.0.0", | |
"scheme": "xyz", | |
"tiles": [ | |
"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png" | |
] | |
}, |
{ | |
"baseLayer": { | |
"tilejson": "2.2.0", | |
"name": "base", | |
"version": "1.0.0", | |
"scheme": "xyz", | |
"tiles": [ | |
"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png" | |
] | |
}, |
import os, sys | |
import argparse | |
from shapely.geometry import shape, mapping, box | |
import json | |
def split_geom(geometry, output_dir, base_name, cols, rows): | |
bounds = geometry.bounds | |
xmin = bounds[0] | |
xmax = bounds[2] | |
ymin = bounds[1] |
import rastervision as rv | |
def get_scenes_to_labels(): | |
""" Construct a list of tuples of S3 URI's to scenes, and the S3 URI to the label GeoJSON | |
""" | |
pass | |
def split_scenes(scenes_to_labels, test_ratio=0.8): | |
""" Read in the scenes_to_labels, read GeoJSON labels and split according to the | |
ratio. Returns a tuple of lists (train, val) |
Dear Geo-Community,
I would like to thank Maria for standing up and sharing her opinion. I think that she is brave for stepping into this discussion. As mentioned by her and Sara, this conversation has become uncomfortable for multiple reasons.
I have been holding back on this conversation because I am working on my local chapter and don’t want to blow up my own projects by expressing my opinions. I am ashamed about this political calculus because I think people should jump in when they see something uncomfortable going on in public. I am an advocate for building a welcoming community and as such feel I need to jump in when I feel that things are not right.
To be clear, my opinions and thoughts are my own and do not represent those of my company, non-profit, local chapter, or my board.
package osmesa.analytics.oneoffs | |
import osmesa.analytics._ | |
import cats.implicits._ | |
import com.monovore.decline._ | |
import geotrellis.vector._ | |
import geotrellis.vector.io._ | |
import geotrellis.vector.io.json._ | |
import geotrellis.spark.util.KryoWrapper |
# Directory with all the `.dat.gz` files | |
DUMP_DIRECTORY=??? | |
# Directory to hold working data | |
WORKING_DIR=??? | |
# osm2orc binary (built from source) | |
OSM2ORC=??? | |
DATE=2018-01-25 | |
AWS_PROFILE=??? | |
S3_DIR=s3://???/??? |